Finding rule groups to classify high dimensional gene expression datasets

DOI10.1016/J.COMPBIOLCHEM.2008.07.031zbMath1156.92013OpenAlexW2107297309WikidataQ44442821 ScholiaQ44442821MaRDI QIDQ1005021

Yi-Ping Phoebe Chen, Jiyuan An

Publication date: 12 March 2009

Published in: Computational Biology and Chemistry (Search for Journal in Brave)

Full work available at URL: http://hdl.handle.net/10536/DRO/DU:30005976

zbMATH Keywords

classificationmicroarray data analysisgene expression datasets

Mathematics Subject Classification ID

Classification and discrimination; cluster analysis (statistical aspects) (62H30) Applications of statistics to biology and medical sciences; meta analysis (62P10) Biochemistry, molecular biology (92C40) Computational methods for problems pertaining to biology (92-08)

Cites Work

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• KERNEL-BASED NAIVE BAYES CLASSIFIER FOR BREAST CANCER PREDICTION

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